Evidence map›Paper›PMID 41397878›Full record

ReviewRNA (New York, N.Y.)2026

How tailored Ribo-seq methods probe unique translation events.

James Marks, Sezen Meydan

Abstract readReview
In one paragraph

Review in RNA (New York, N.Y.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

James MarksDepartment of Biochemistry, Vanderbilt University School of Medicine, Nashville, Tennessee 37232, USA.
Sezen MeydanDepartment of Biochemistry, Vanderbilt University School of Medicine, Nashville, Tennessee 37232, USA sezen.meydan@vanderbilt.edu.

Funding

Regulation of ribosome collisions during health, development and diseaseR00GM144688 · NIGMS · VANDERBILT UNIVERSITY · PI Fatma Sezen Meydan Marks · 2024 to 2026
$747k
NIGMS NIH HHS R00 GM144688
6 · The paper itself

Abstract

Ribosome profiling (Ribo-seq) is a next-generation, high-resolution sequencing technique that captures ribosome-protected mRNA fragments to map ribosome positions across the transcriptome. This method serves as a powerful proxy for global translational activity by revealing where ribosomes engage with mRNAs. Recent advances have expanded the utility of Ribo-seq to resolve distinct ribosome populations, including initiating ribosomes, small subunits, collided ribosomes, mitochondrial ribosomes, and those associated with specific translation factors or localized to subcellular compartments. These methodological advances have significantly broadened the scope of Ribo-seq, enabling new insights into the molecular mechanisms that govern translation across diverse eukaryotic systems. In this mini-review, we highlight key innovations in Ribo-seq technology and discuss how they have deepened our understanding of the spatial, temporal, and regulatory dimensions of translational control.

Indexed as

High-Throughput Nucleotide SequencingProtein BiosynthesisRibosomesRNA, MessengerSequence Analysis, RNAAnimalsHumansRibosome ProfilingTranscriptomeRNA, Messengernext-generation sequencingRibo-seqribosomeribosome profilingtranslation regulation

Identifiers

PMID41397878
PMCPMC12908456

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.